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» Machine Learning of Temporal Relations
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NIPS
1996
13 years 8 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
13 years 10 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
ML
2010
ACM
13 years 5 months ago
Temporal kernel CCA and its application in multimodal neuronal data analysis
Felix Bießmann, Frank C. Meinecke, Arthur Gr...
ICML
2005
IEEE
14 years 7 months ago
Reinforcement learning with Gaussian processes
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Yaakov Engel, Shie Mannor, Ron Meir